LinkedIn Ads MCP Pack
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io.github.pipeworx-io/linkedin_ads is an MCP server that LinkedIn Ads MCP Pack. Its tool list has not been published yet over http, requires no API key, and scores 72/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"linkedin_ads": {
"url": "https://gateway.pipeworx.io/linkedin_ads/mcp"
}
}
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Part of Pipeworx — an MCP gateway connecting AI agents to 250+ live data sources.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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LinkedIn Ads MCP Pack
Part of Pipeworx — an MCP gateway connecting AI agents to 1394+ live data sources.
| Tool | Description |
|---|---|
li_list_ad_accounts | Check which LinkedIn ad accounts you can access. Returns account IDs, names, and status to identify which account to use for campaigns. |
li_list_campaigns | Get all campaigns in a LinkedIn ad account (e.g., account ID "501234567"). Returns campaign IDs, names, budgets, status, and date ranges. |
li_get_campaign | Get full details for a specific LinkedIn campaign (e.g., campaign ID "501234567"). Returns name, budget, spend, status, targeting, and performance metrics. |
li_campaign_analytics | Analyze campaign performance over a date range (e.g., "2024-01-01" to "2024-01-31"). Returns impressions, clicks, conversions, spend, and CTR by campaign. |
li_list_creatives | View all ads in a LinkedIn campaign (e.g., campaign ID "501234567"). Returns creative IDs, titles, content, status, and creation dates to compare variations. |
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"linkedin_ads": {
"url": "https://gateway.pipeworx.io/linkedin_ads/mcp"
}
}
}
Or connect to the full Pipeworx gateway for access to all 1394+ data sources:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Instead of calling tools directly, you can ask questions in plain English:
ask_pipeworx({ question: "your question about Linkedin_ads data" })
The gateway picks the right tool and fills the arguments automatically.
MIT